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Hi,
I tried Making some improvements and changes,

  • Improved error handling for cases where no faces or multiple faces are detected.
  • Logs errors in a faceswap.log file for better traceability.
  • Replaced the manual image blending with OpenCV’s seamlessClone, which provides more natural blending of the face into the background.
  • The code is now more modular with clearly defined functions for specific tasks (e.g., face detection, landmark extraction, transformation, warping, etc.).
  • detect_faces handles face detection, and get_landmarks handles landmark extraction, making the flow of the script easier to follow.
  • The script uses Python’s logging module to track important information and errors. Logs are written to a faceswap.log file.
  • Better user feedback in case of errors, and logging for debugging.
    Thank You,
    RAJAT MISHRA

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